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Current state of the art methods for generating semantic segmentation rely heavily on a large set of images that have each pixel labeled with a class of interest label or background.
A model of saliency-based visual attention for rapid scene analysis
Laurent Itti, Christof Koch, and Ernst Niebur · 1998
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Saliency detection: A spectral residual approach
Xiaodi Hou and Liqing Zhang · 2007
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Measuring the objectness of image windows
Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari · 2012
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Learning and transferring mid-level image representations using convolutional neural networks
Maxime Oquab, Leon Bottou, Ivan Laptev, and Josef Sivic · 2014
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Fully convolutional multi-class multiple instance learning
Deepak Pathak, Evan Shelhamer, Jonathan Long, and Trevor Darrell · 2014
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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Is object localization for free?-weakly-supervised learning with convolutional neural networks
Maxime Oquab, Léon Bottou, Ivan Laptev, and Josef Sivic · 2015
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Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation
George Papandreou, Liang-Chieh Chen, Kevin P Murphy, and Alan L Yuille · 2015
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Constrained convolutional neural networks for weakly supervised segmentation
Deepak Pathak, Philipp Krahenbuhl, and Trevor Darrell · 2015
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From image-level to pixel-level labeling with convolutional networks
Pedro O Pinheiro and Ronan Collobert · 2015
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Learning to segment under various forms of weak supervision
Jia Xu, Alexander G Schwing, and Raquel Urtasun · 2015
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Self-taught object localization with deep networks
Loris Bazzani, Alessandra Bergamo, Dragomir Anguelov, and Lorenzo Torresani · 2016
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What’s the point: Semantic segmentation with point supervision
Amy Bearman, Olga Russakovsky, Vittorio Ferrari, and Li Fei-Fei · 2016
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Backtracking scspm image classifier for weakly supervised top-down saliency
Hisham Cholakkal, Jubin Johnson, and Deepu Rajan · 2016
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Weakly supervised object localization with multi-fold multiple instance learning
Ramazan Gokberk Cinbis, Jakob Verbeek, and Cordelia Schmid · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Seed, expand and constrain: Three principles for weakly-supervised image segmentation
Alexander Kolesnikov and Christoph H Lampert · 2016
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Learning to segment human by watching youtube
Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, and Shuicheng Yan · 2016
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Scribblesup: Scribble-supervised convolutional networks for semantic segmentation
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun · 2016
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Learning from weak and noisy labels for semantic segmentation
Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, and Xin Gao · 2016
Cited alongside, same era.
Augmented feedback in semantic segmentation under image level supervision
Object region mining with adversarial erasing: A simple classification to semantic segmentation approach
Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, and Shuicheng Yan · 2017
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Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation
Jiwoon Ahn and Suha Kwak · 2018
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Convolutional simplex projection network for weakly supervised semantic segmentation
Rania Briq, Michael Moeller, and Jürgen Gall · 2018
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Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks
Aditya Chattopadhay, Anirban Sarkar, Prantik Howlader, and Vineeth N Balasubramanian · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
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Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Hengshuang Zhao, and Jiaya Jia · 2016
Cited alongside, same era.
Deepcut: Object segmentation from bounding box annotations using convolutional neural networks
Martin Rajchl, Matthew CH Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A Rutherford, Joseph V Hajnal, Bernhard Kainz, et al · 2016
Cited alongside, same era.
Built-in foreground/background prior for weakly-supervised semantic segmentation
Fatemehsadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, and Jose M Alvarez · 2016
Cited alongside, same era.
Distinct class-specific saliency maps for weakly supervised semantic segmentation
Wataru Shimoda and Keiji Yanai · 2016
Cited alongside, same era.
Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
Cited alongside, same era.
Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation
Thibaut Durand, Taylor Mordan, Nicolas Thome, and Matthieu Cord · 2017
Cited alongside, same era.
Weakly supervised semantic segmentation using web-crawled videos
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, and Bohyung Han · 2017
Cited alongside, same era.
Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning
Weifeng Ge, Sibei Yang, and Yizhou Yu · 2018
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Learning to segment every thing
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, and Ross Girshick · 2018
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Weakly-supervised semantic segmentation network with deep seeded region growing
Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, and Jingdong Wang · 2018
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Deep extreme cut: From extreme points to object segmentation
Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, and Luc Van Gool · 2018
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Normalized cut loss for weakly-supervised cnn segmentation
Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, and Christopher Schroers · 2018
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Weakly-supervised semantic segmentation by iteratively mining common object features
Xiang Wang, Shaodi You, Xi Li, and Huimin Ma · 2018
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Revisiting dilated convolution: A simple approach for weakly-and semi-supervised semantic segmentation
Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, and Thomas S Huang · 2018
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Adversarial complementary learning for weakly supervised object localization
Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, and Thomas S Huang · 2018
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Pseudo mask augmented object detection
Xiangyun Zhao, Shuang Liang, and Yichen Wei · 2018
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Weakly supervised learning of instance segmentation with inter-pixel relations
Jiwoon Ahn, Sunghyun Cho, and Suha Kwak · 2019
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Ficklenet: Weakly and semi-supervised semantic image segmentation using stochastic inference
Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, and Sungroh Yoon · 2019
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Box-driven class-wise region masking and filling rate guided loss for weakly supervised semantic segmentation
Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang · 2019
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